Library preparation Pool-seq
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REPOSITORIES: ENA
Similar Datasets
Project description:Comparison of library preparation methods using Cryptococcus neoformans var. grubii
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Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination of three different library preparation methods for small RNAs, two replicates per library method
2009-07-28 | E-GEOD-16370 | biostudies-arrayexpress
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis Examination of three different library preparation methods for small RNAs, two replicates per library method
2009-07-28 | E-GEOD-16369 | biostudies-arrayexpress
Project description:RNA-Seq technique was applied to investigate the effects of four cDNA amplification kits and two RNA-Seq library preparation kits to the deep sequencing results at different perspectives. The same set of semen samples were applied to investigate the qualitative and quantitative effect of four cDNA amplification methods and two RNA-Seq library preparation methods on sperm transcript profiling.
2015-05-09 | E-GEOD-57503 | biostudies-arrayexpress
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis
2009-07-29 | GSE16370 | GEO
Project description:Analysis of RNA samples by massive parallel sequencing holds the promise to assay gene expression in both a quantitative and qualitative fashion and therefore allows for digital gene expression (DGE) profiling. We assessed the effect of different experimental approaches by generating small RNA libraries from a biological sample as well as an equimolar pool of synthetic miRNAs and analyzed the results using capillary dideoxy sequencing and next-generation sequencing platforms (Roche/454, AB/SOLiD and Illumina/Solexa). Whereas different sequencing platforms provided highly similar results, large differences in DGE profiles were observed depending on the library preparation method used. Nevertheless, our results indicate that the preferential nature of the library preparation methods is systematic and highly reproducible and we show that DGE is well suited for the quantification of relative expression differences between samples. Keywords: Transcriptome analysis
2009-07-29 | GSE16369 | GEO
Project description:Evaluating bias-reducing protocols for RNA sequencing library preparation
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Project description:Many library preparation methods are available for gene expression quantification. Here, we sequenced and analysed Universal Human Reference RNA (UHRR) prepared using Smart-Seq2, TruSeq (public data) and a protocol using unique molecular identifiers (UMIs) that all include the ERCC spike-in mRNAs to investigate the effects of amplification bias on expression quantification. UHRR 10 and 12 replicates for Smart-seq2 and UMI-seq library preparation methods, respectively.
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Project description:We optimzed ATAC-seq library preparation for use with Drosophila melanogaster. The protocol addresses factors specific to fruit flies, such as the insect exoskeleton and smaller genome size. The optimized protocol provides guidelines for sample input, nuclei isolation, and enzymatic reaction times. The data included here were generated using our optimized library preparation workflow.
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Project description:Deep sequencing of single cell-derived genomic DNA and/or cDNAs brings novel insights into oncogenesis and embryogenesis. However, traditional library preparation for RNA-Seq requires multiple steps, including shearing the target DNA/RNA and following sequential enzymatic reactions, which result in consequent sample loss and stochastic variation at each step. Such variation may significantly affect the output from sequencing. We have found that a new technique of library preparation using hyperactive Tn5 transposase for the next-generation sequencer of Illumina's platform provided high-quality libraries from 100ng of short-length (average 700~800 bp) single-cell level cDNA. This new method reduced the number of steps in the protocol, which resulted in improved reproducibility and reduced variation among the specimens. Two methods of library preparation (sonication, tagmentation with hyperactive Tn5 transposase) were compared in the case of RNA-Seq for single-cell level cDNA. Technical triplicates were used.
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